Vendor AI: The Governance Gap Most Boards Are Missing

Vendor AI isn’t a strategy topic. It’s a governance reality.

Most organizations are already exposed to AI through the platforms they use every day, whether or not the board or management has made a deliberate decision to deploy AI. Productivity tools, financial systems, CRM platforms, research and communications software. Many have embedded AI features in recent product releases, some without explicit notification to their customers.

In many industries, this is a manageable evolution. In regulated environments, it can create immediate compliance exposure.

I’ve seen this play out directly. A vendor introduced an AI feature that processed client data in a cloud environment incompatible with the organization’s regulatory retention requirements. The vendor had launched these new features broadly and without giving their clients any preview.

The compliance problem was discovered by the customer, not disclosed by the vendor. The cost, operationally and in relationship terms, was significant. Neither the board nor management (including the IT team) had visibility into the change before it went live.

The lesson isn’t that vendor AI is inherently problematic. It’s that vendor AI changes things: data exposure, regulatory posture, sometimes customer usability. And it changes them at the vendor’s cadence, not ours.